Kato Reviews

SAS technologies combine to provide powerful tools for visual information. You can access, manipulate, analyze, and present information in visual formats. SAS Visual Machine Learning allows you to expand your analytics by using machine learning and deep learning capabilities. This makes it easier to visualize and report better. Visualize and discover relationships in your data. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes to make data-driven, smarter decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions. A comprehensive visual interface allows you to solve complex analytical problems. It handles all aspects of the analytics lifecycle.

Your structured data can be used to create engaging and connective microsites. Share insights with both internal and external audiences. Simple, intuitive interfaces are available for browsing structured data. You can share analysis by embedding visualizations in reports and articles. Using shared annotations, teams can publish, update, collaborate, and collaborate on data visualisations. By creating data visualization interfaces and browsable galleries, you can understand the depth and breadth of a collection. Engage more with your employees and customers by contextualizing collections using user insights and timely articles. Fluid, interactive data visualizations bring data to life. Engage your audience with eye-catching visualizations online. You can embed visualizations on your website and encourage dialogue with user annotations. Gist is open source under the GNU General Public License.